public bool set_input_scaling_params(training_data data, float new_input_min, float new_input_max) { bool ret = fanndoublePINVOKE.neural_net_set_input_scaling_params(swigCPtr, training_data.getCPtr(data), new_input_min, new_input_max); if (fanndoublePINVOKE.SWIGPendingException.Pending) throw fanndoublePINVOKE.SWIGPendingException.Retrieve(); return ret; }